import qdrant.vector as vector
from qdrant.qdrant import client, collection_name


vector = vector.EmbeddingText("图表")
print("vector", vector)
ret_query = client.query_points(
    collection_name=collection_name, query=vector, score_threshold=0.6, limit=30
)

print("ret_query", ret_query)
